Article Figures & Data

Figures

Mean area under the ROC curve (AUC) as a function of the number of components included in the balance in the cross-validation process for Crohn’s disease. The optimal number of components according to the “1se rule” is highlighted with a vertical dashed line.

Description of the global balance for Crohn’s disease. The two groups of taxa that form the global balance are specified at the top of the plot. The box plot represents the distribution of the balance scores for CD and non-CD individuals. The right part of the figure contains the ROC curve with its AUC value (0.838) and the density curve for each group.

Cross-validation (CV) results for Crohn’s disease study: most frequent taxa and most frequent balances selected in the CV procedure compared to the global balance obtained with the whole data set. Colored rectangles indicate if the component is in the numerator of the balance (BAL) (red), in the denominator (blue), or not included (white). FREQ, frequency.

FIG S3

Mean area under the ROC curve (AUC) as a function of the number of components included in the balance in the iterative cross-validation process for HIV-positive (HIV+) and HIV− individuals, taking the MSM factor as a possible confounder. The optimal number of components according to the “1se rule” is highlighted with a vertical dashed line. Download FIG S3, PDF file, 0.03 MB.

FIG S4

Description of the global balance for HIV study. The two groups of taxa that form the global balance are specified at the top of the plot. The box plot represents the distribution of the balance scores for noninfected (Neg) and infected (Pos) individuals. The right part of the figure contains the ROC curve with its AUC (0.786) value and the density curve for each group. Download FIG S4, PDF file, 0.1 MB.

FIG S5

Cross-validation (CV) results for HIV study: most frequent taxa and most frequent balances selected in the CV procedure compared to the global balance obtained with the whole data set. Colored rectangles indicate if the component is in the numerator of the balance (red) or is in the denominator (blue) or is not included (white). Download FIG S5, PDF file, 0.1 MB.

FIG S6

Mean squared error (MSE) as a function of the number of components included in the balance in the cross-validation process for sCD14 analysis. The optimal number of components according to the “1se rule” is highlighted with a vertical dashed line. Download FIG S6, PDF file, 0.03 MB.

FIG S7

Description of the global balance for the sCD14 study. The two groups of taxa that form the global balance are specified at the top of the plot. Below, the regression model is represented with the sCD14 values defined in the y axis and the balance value in the x axis. Higher balance scores are associated with higher levels of sCD14. Download FIG S7, PDF file, 0.1 MB.

FIG S8

Cross-validation (CV) results for sCD14 study: most frequent taxa and most frequent balances selected in the CV procedure compared to the global balance obtained with the whole data set. Colored rectangles indicate if the component is in the numerator of the balance (red) or in the denominator (blue) or not included (white). Download FIG S8, PDF file, 0.1 MB.